{"id":"W2744864749","doi":"10.15185/izawol.378","title":"How does international trade affect household welfare?","year":2017,"lang":"en","type":"article","venue":"IZA World of Labor","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Affect (linguistics); Welfare; International trade; Economics; International economics; Business; Psychology; Market economy; Communication","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000932516,0.0003066472,0.0005760578,0.0009360398,0.0005340508,0.002386738,0.0002559159,0.0009390363,0.01324276],"category_scores_gemma":[0.0034144,0.0001665643,0.0008091234,0.002040059,0.0009389489,0.001734433,0.001011483,0.0009014201,0.0009719845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051468,"about_ca_system_score_gemma":0.0003592575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005876286,"about_ca_topic_score_gemma":0.00570785,"domain_scores_codex":[0.9993801,0.0002686612,0.0000216785,0.00008890432,0.00004446397,0.0001961564],"domain_scores_gemma":[0.9975249,0.0008690337,0.0008809983,0.0001567435,0.0002973847,0.0002708514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005840032,0.0004547384,0.767465,0.0003755561,0.001631909,0.0008224926,0.002082941,0.007963449,0.0006228741,0.09076034,0.01855438,0.1086822],"study_design_scores_gemma":[0.0000554054,0.0002382487,0.8608514,0.000490881,0.0005498344,0.0003561931,0.006138518,0.003504297,0.0005483279,0.08565434,0.04156915,0.00004336974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8116869,0.0149344,0.003777157,0.03823327,0.0004458399,0.00004035171,0.005523208,0.0000952682,0.1252636],"genre_scores_gemma":[0.9908782,0.003320872,0.0001905502,0.0008763506,0.0001447686,0.00001552037,0.0005219143,0.00001438642,0.004037415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01324276,"threshold_uncertainty_score":0.04430139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05537569996135596,"score_gpt":0.2287735440402043,"score_spread":0.1733978440788483,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}